Synergetic Computers and Cognition : A Top-Down Approach to Neural Nets
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This book will be of interest to graduate students, researchers and teachers in the computer sciences, in the cognitive sciences andin physics. It provides the reader with a novel approach to the design and study of neural nets. The applicability of this approach is shown explicitly by means of realistic examples. In addition, detailed models of the cognitive abilities of humans are included and compared with the performance of the synergetic computer presented in this book. The work presented here would not have been possible without the important help of my coworkers. Dr. Arne Wunderlin has helped me in many respects over many years and has made essential contributions, in particular to the slaving principle of synergetics. Drs. Michael Bestehorn, Rudolf Friedrich and Wolfgang W eimer have applied the methods of synergetics to spontaneous pattern forma­ tion in fluids and have further developed these methods. Armirr Fuchs has not only implemented my algorithm on a VAX computer, but has also made his own important contributions, in particular to pattern recognition that is invariant with respect to translation, rotation, and scaling. Thomas Ditzinger, Richard Haas, and Robert Hönlinger have contributed within the work on their diploma theses to the application of our approach to a number of problems that are shared by humans and computers in the field of pattern recognition. I wish to thank all of them. eBook.

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Von Händler/Antiquariat, Better World Books.
Springer-Verlag. Used - Good. Ships from Reno, NV. Shows some signs of wear, and may have some markings on the inside. 100% Money Back Guarantee. Shipped to over one million happy customers. Your purchase benefits world literacy!

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Synergetic Computers and Cognition: This book will be of interest to graduate students, researchers and teachers in the computer sciences, in the cognitive sciences andin physics. It provides the reader with a novel approach to the design and study of neural nets. The applicability of this approach is shown explicitly by means of realistic examples. In addition, detailed models of the cognitive abilities of humans are included and compared with the performance of the synergetic computer presented in this book. The work presented here would not have been possible without the important help of my coworkers. Dr. Arne Wunderlin has helped me in many respects over many years and has made essential contributions, in particular to the slaving principle of synergetics. Drs. Michael Bestehorn, Rudolf Friedrich and Wolfgang W eimer have applied the methods of synergetics to spontaneous pattern forma- tion in fluids and have further developed these methods. Armirr Fuchs has not only implemented my algorithm on a VAX computer, but has also made his own important contributions, in particular to pattern recognition that is invariant with respect to translation, rotation, and scaling. Thomas Ditzinger, Richard Haas, and Robert Honlinger have contributed within the work on their diploma theses to the application of our approach to a number of problems that are shared by humans and computers in the field of pattern recognition. I wish to thank all of them. Englisch, Ebook.

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Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - This book presents a novel approach to neural nets and thus offers a genuine alternative to the hitherto known neuro-computers. This approach is based on the author's discovery of the profound analogy between pattern recognition and pattern formation in open systems far from equilibrium. Thus the mathematical and conceptual tools of synergetics can be exploited, and the concept of the synergetic computer formulated. A complete and rigorous theory of pattern recognition and learning is presented. The resulting algorithm can be implemented on serial computers or realized by fully parallel nets whereby no spurious states occur. Explicit examples (recognition of faces and city maps) are provided. The recognition process is made invariant with respect to simultaneous translation, rotation, and scal- ing, and allows the recognition of complex scenes. Oscillations and hysteresis in the perception of ambig- uous patterns are treated, as well as the recognition of movement patterns. 245 pp. Englisch.

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A Top-Down Approach to Neural Nets Springer Series in Synergetics. 2. Auflage. Enlarged 2004. A Top-Down Approach to Neural Nets Springer Series in Synergetics. 2. Auflage. Enlarged 2004.

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Von Händler/Antiquariat, DelhiBookStore.
This book presents a novel approach to neural nets and thus offers a genuine alternative to the hitherto known neuro-computers. The new edition includes a section on transformation properties of the equations of the synergetic computer and on the invariance properties of the order parameter equations. Further additions are a new section on stereopsis and recent developments in the use of pulse-coupled neural nets for pattern recognition. Hardcover, Label: Springer-Verlag, Springer-Verlag, Produktgruppe: Book, Publiziert: 1991-05, Studio: Springer-Verlag, Verkaufsrang: 15895793.

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Von Händler/Antiquariat, Raritan River Books.
New York: Springer Verlag. Binding sound, text clean, light shelfwear. No jacket (as issued?) . Very Good. Hardcover. 1991.

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Von Händler/Antiquariat, Ergodebooks.
Springer-Verlag, 1991-05-01. Hardcover. Used:Good. Buy with confidence. Excellent Customer Service & Return policy. Ships Fast. 24*7 Customer Service.

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A Top-Down Approach to Neural Nets, Buch, Hardcover, 2nd enlarged ed. 2004.